Datasets:
cosmos_qa

	---
	annotations_creators:
	- crowdsourced
	language:
	- en
	language_creators:
	- found
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	pretty_name: CosmosQA
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- multiple-choice
	task_ids:
	- multiple-choice-qa
	paperswithcode_id: cosmosqa
	dataset_info:
	features:
	- name: id
	dtype: string
	- name: context
	dtype: string
	- name: question
	dtype: string
	- name: answer0
	dtype: string
	- name: answer1
	dtype: string
	- name: answer2
	dtype: string
	- name: answer3
	dtype: string
	- name: label
	dtype: int32
	splits:
	- name: train
	num_bytes: 17159918
	num_examples: 25262
	- name: test
	num_bytes: 5121479
	num_examples: 6963
	- name: validation
	num_bytes: 2186987
	num_examples: 2985
	download_size: 24399475
	dataset_size: 24468384
	---

	# Dataset Card for "cosmos_qa"

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [https://wilburone.github.io/cosmos/](https://wilburone.github.io/cosmos/)
	- Repository: https://github.com/wilburOne/cosmosqa/
	- Paper: [Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://arxiv.org/abs/1909.00277)
	- Point of Contact: [Lifu Huang](mailto:warrior.fu@gmail.com)
	- Size of downloaded dataset files: 24.40 MB
	- Size of the generated dataset: 24.51 MB
	- Total amount of disk used: 48.91 MB

	### Dataset Summary

	Cosmos QA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people's everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context

	### Supported Tasks and Leaderboards

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Languages

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Dataset Structure

	### Data Instances

	#### default

	- Size of downloaded dataset files: 24.40 MB
	- Size of the generated dataset: 24.51 MB
	- Total amount of disk used: 48.91 MB

	An example of 'validation' looks as follows.
	```
	This example was too long and was cropped:

	{
	"answer0": "If he gets married in the church he wo nt have to get a divorce .",
	"answer1": "He wants to get married to a different person .",
	"answer2": "He wants to know if he does nt like this girl can he divorce her ?",
	"answer3": "None of the above choices .",
	"context": "\"Do i need to go for a legal divorce ? I wanted to marry a woman but she is not in the same religion , so i am not concern of th...",
	"id": "3BFF0DJK8XA7YNK4QYIGCOG1A95STE##3180JW2OT5AF02OISBX66RFOCTG5J7##A2LTOS0AZ3B28A##Blog_56156##q1_a1##378G7J1SJNCDAAIN46FM2P7T6KZEW2",
	"label": 1,
	"question": "Why is this person asking about divorce ?"
	}
	```

	### Data Fields

	The data fields are the same among all splits.

	#### default
	- `id`: a `string` feature.
	- `context`: a `string` feature.
	- `question`: a `string` feature.
	- `answer0`: a `string` feature.
	- `answer1`: a `string` feature.
	- `answer2`: a `string` feature.
	- `answer3`: a `string` feature.
	- `label`: a `int32` feature.

	### Data Splits

	\| name \|train\|validation\|test\|
	\|-------\|----:\|---------:\|---:\|
	\|default\|25262\| 2985\|6963\|

	## Dataset Creation

	### Curation Rationale

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Licensing Information

	As reported via email by Yejin Choi, the dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

	### Citation Information

	```
	@inproceedings{huang-etal-2019-cosmos,
	title = "Cosmos {QA}: Machine Reading Comprehension with Contextual Commonsense Reasoning",
	author = "Huang, Lifu and
	Le Bras, Ronan and
	Bhagavatula, Chandra and
	Choi, Yejin",
	booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
	month = nov,
	year = "2019",
	address = "Hong Kong, China",
	publisher = "Association for Computational Linguistics",
	url = "https://www.aclweb.org/anthology/D19-1243",
	doi = "10.18653/v1/D19-1243",
	pages = "2391--2401",
	}
	```


	### Contributions

	Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset.